Amazon vs Mistral

Amazon Nova Lite vs Mistral Small 3.1 (25.03)

Compare Amazon Nova Lite and Mistral Small 3.1 (25.03) across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for tool-augmented workflows versus cost-efficient scale.

Overview Comparison

Structured side-by-side differences for the highest-signal model metadata.

Amazon Nova Lite
Mistral Small 3.1 (25.03)

Provider

The entity that currently provides this model.

Amazon Nova Lite Amazon
Mistral Small 3.1 (25.03) Mistral

Model ID

The routed model identifier exposed by upstream providers.

Amazon Nova Lite amazon/nova-lite-v1
Mistral Small 3.1 (25.03) N/A

Input Context Window

The number of tokens supported by the input context window.

Amazon Nova Lite 300,000 tokens
Mistral Small 3.1 (25.03) 128,000 tokens

Maximum Output Tokens

The number of tokens that can be generated by the model in a single request.

Amazon Nova Lite 5,000 tokens tokens
Mistral Small 3.1 (25.03) 16,000 tokens tokens

Open Source

Whether the model's code is available for public use.

Amazon Nova Lite No
Mistral Small 3.1 (25.03) No

Release Date

When the model was first released.

Amazon Nova Lite Dec 05, 2024
Mistral Small 3.1 (25.03) Unknown

Knowledge Cut-off Date

When the model's knowledge was last updated.

Amazon Nova Lite 2024-10-31
Mistral Small 3.1 (25.03) Unknown

API Providers

The providers that currently expose the model through an API.

Amazon Nova Lite
OpenRouter
Mistral Small 3.1 (25.03)
Mistral API, Hugging Face

Modalities

Types of data each model can process or return.

Amazon Nova Lite
Text Image Video
Mistral Small 3.1 (25.03)
Text Code

Pricing Comparison

Compare current token pricing before you choose the cheaper or more scalable API option.

Amazon Nova Lite Amazon
Input price $0.06 Per 1M tokens
Output price $0.24 Per 1M tokens
Mistral Small 3.1 (25.03) Mistral
Input price $0.10 Per 1M tokens
Output price N/A Per 1M tokens

Capabilities Comparison

See where each model overlaps, where they differ, and which one supports more of the features you care about.

Capability
Amazon Nova Lite
Mistral Small 3.1 (25.03)
Agentic Task Execution Designed to support agentic workflows and UI actuation. Can be used in multi-step task pipelines that require reasoning and action sequencing.
Amazon Nova Lite Supported
Mistral Small 3.1 (25.03)
Code Generation Handles code tasks across 80+ programming languages, including generation, completion, and explanation.
Amazon Nova Lite
Mistral Small 3.1 (25.03) Supported
Cost-Efficient Inference Priced at the lower end of the Nova model family for multimodal tasks. Intended for high-volume applications where per-token cost is a key constraint.
Amazon Nova Lite Supported
Mistral Small 3.1 (25.03)
Fast Inference Delivers approximately 150 tokens per second, supporting latency-sensitive production workloads on a single node.
Amazon Nova Lite
Mistral Small 3.1 (25.03) Supported
Fine-Tuning Support Supports text and vision fine-tuning via Amazon Bedrock. Developers can customize the model to improve accuracy or reduce cost for specific tasks.
Amazon Nova Lite Supported
Mistral Small 3.1 (25.03)
Function Calling Supports structured tool use and function calling, enabling integration with external APIs and agentic workflows.
Amazon Nova Lite
Mistral Small 3.1 (25.03) Supported
Image
Amazon Nova Lite Supported
Mistral Small 3.1 (25.03)
Large Context Window Supports up to 300,000 tokens of context per request. This allows processing of long documents, extended conversations, or multiple media inputs in one call.
Amazon Nova Lite Supported
Mistral Small 3.1 (25.03)
Long Context Window Processes up to 128,000 tokens in a single request, enabling analysis of long documents, codebases, or extended conversations without truncation.
Amazon Nova Lite
Mistral Small 3.1 (25.03) Supported
Low-Latency Responses Optimized for fast inference across multimodal inputs. Designed to return responses quickly even when handling image and video alongside text.
Amazon Nova Lite Supported
Mistral Small 3.1 (25.03)
Multilingual Text Supports dozens of spoken languages for generation and comprehension tasks, making it suitable for international and localized applications.
Amazon Nova Lite
Mistral Small 3.1 (25.03) Supported
Multimodal Input Processes image, video, and text inputs within a single request. Enables tasks like visual question answering and document analysis combining text and images.
Amazon Nova Lite Supported
Mistral Small 3.1 (25.03)
Multimodal Understanding Accepts image inputs alongside text, allowing the model to reason about visual content within a single prompt.
Amazon Nova Lite
Mistral Small 3.1 (25.03) Supported
Text
Amazon Nova Lite Supported
Mistral Small 3.1 (25.03) Supported
Tools
Amazon Nova Lite Supported
Mistral Small 3.1 (25.03)
Video Understanding Accepts video as a direct input type for analysis and comprehension tasks. Enables use cases such as video summarization and content extraction.
Amazon Nova Lite Supported
Mistral Small 3.1 (25.03)

Benchmark Comparison

Shared benchmark rows make it easier to compare performance where both models have published scores.

Benchmark Amazon Nova Lite Mistral Small 3.1 (25.03)
AIME 2024
American math olympiad problems
Amazon Nova Lite 10.7%
Mistral Small 3.1 (25.03) 6.3%
GPQA Diamond
PhD-level science questions (biology, physics, chemistry)
Amazon Nova Lite 43.3%
Mistral Small 3.1 (25.03) 38.1%
HLE
Questions that challenge frontier models across many domains
Amazon Nova Lite 4.6%
Mistral Small 3.1 (25.03) 4.3%
LiveCodeBench
Real-world coding tasks from recent competitions
Amazon Nova Lite 16.7%
Mistral Small 3.1 (25.03) 14.1%
MATH-500
Undergraduate and competition-level math problems
Amazon Nova Lite 76.5%
Mistral Small 3.1 (25.03) 56.3%
MMLU-Pro
Expert knowledge across 14 academic disciplines
Amazon Nova Lite 59.0%
Mistral Small 3.1 (25.03) 52.9%
SciCode
Scientific research coding and numerical methods
Amazon Nova Lite 13.9%
Mistral Small 3.1 (25.03) 15.6%
Community discussion

What Reddit discussions say about Amazon Nova Lite vs Mistral Small 3.1 (25.03)

Amazon Nova Lite and Mistral Small 3.1 (25.03) are both surfacing live Reddit discussions, giving this comparison a community layer beyond specs and benchmarks.

The most visible threads right now are clustered in r/LLMDevs, r/BlackboxAI_, r/ClaudeAI.

Amazon Nova Lite r/LLMDevs 10 upvotes 11 comments December 9, 2025
I don't think anyone is using Amazon Nova Lite 2.0, but I built router for it for Claude Code

Amazon just launched Nova 2 Lite models on Bedrock.

Now, you can use those models directly with Claude Code, and set automatic preferences on when to invoke the model for specific coding scenarios. Sample config below. This way you can mix/match different models based on coding use cases. Details in the demo folder here: [https://github.com/katanemo/archgw/tree/main/demos/use\_cases/claude\_code\_router](https://github.com/katanemo/archgw/tree/main/demos/use_cases/claude_code_router)

if you think this is useful, then don't forget to the star the project 🙏

# Anthropic Models
- model: anthropic/claude-sonnet-4-5
access_key: $ANTHROPIC_API_KEY
routing_preferences:
- name: code understanding
description: understand and explain existing code snippets, functions, or libraries

- model: amazon_bedrock/us.amazon.nova-2-lite-v1:0
default: true
access_key: $AWS_BEARER_TOKEN_BEDROCK
base_url: https://bedrock-runtime.us-west-2.amazonaws.com
routing_preferences:
- name: code generation
description: generating new code snippets, functions, or boilerplate based on user prompts or requirements

- model: anthropic/claude-haiku-4-5
access_key: $ANTHROPIC_API_KEY

Open Reddit thread
Amazon Nova Lite r/BlackboxAI_ 5 upvotes 5 comments December 4, 2025
Problems with Microsoft models

None of the MS models seem to be working for me. I get an error like:

`[API Error: 404 litellm.NotFoundError: NotFoundError: OpenrouterException - {"error":{"message":"No endpoints found that support tool use. To learn more about provider routing, visit:`
`https://openrouter.ai/docs/guides/routing/provider-selection","code":404}}. Received Model Group=blackboxai/microsoft/phi-4Available Model Group Fallbacks=None]`

Separately, the amazon/nova-lite-v1 model is s\*\*t... Offers vague recommendations and no specific fix for any code.

Open Reddit thread

Amazon just launched Nova 2 Lite models on Bedrock.

Now, you can use those models directly with Claude Code, and set automatic preferences on when to invoke the model for specific coding scenarios. Sample config below. This way you can mix/match different models based on coding use cases. Details in the demo folder here: [https://github.com/katanemo/archgw/tree/main/demos/use\_cases/claude\_code\_router](https://github.com/katanemo/archgw/tree/main/demos/use_cases/claude_code_router)

# Anthropic Models
- model: anthropic/claude-sonnet-4-5
access_key: $ANTHROPIC_API_KEY
routing_preferences:
- name: code understanding
description: understand and explain existing code snippets, functions, or libraries

- model: amazon_bedrock/us.amazon.nova-2-lite-v1:0
default: true
access_key: $AWS_BEARER_TOKEN_BEDROCK
base_url: https://bedrock-runtime.us-west-2.amazonaws.com
routing_preferences:
- name: code generation
description: generating new code snippets, functions, or boilerplate based on user prompts or requirements

- model: anthropic/claude-haiku-4-5
access_key: $ANTHROPIC_API_KEY

if you think this is useful, then don't forget to the star the project 🙏

Open Reddit thread
Amazon Nova Lite r/aipromptprogramming 4 upvotes 1 comments December 6, 2025
I built the bridge from Claude Code to Amazon Nova Lite 2.0

Amazon just launched Nova 2 Lite models on Bedrock.

Now, you can use those models directly with Claude Code, and set automatic preferences on when to invoke the model for specific coding scenarios. Sample config below. This way you can mix/match different models based on coding use cases. Details in the demo folder here: [https://github.com/katanemo/archgw/tree/main/demos/use\_cases/claude\_code\_router](https://github.com/katanemo/archgw/tree/main/demos/use_cases/claude_code_router)

if you think this is useful, then don't forget to the star the project 🙏

# Anthropic Models
- model: anthropic/claude-sonnet-4-5
access_key: $ANTHROPIC_API_KEY
routing_preferences:
- name: code understanding
description: understand and explain existing code snippets, functions, or libraries

- model: amazon_bedrock/us.amazon.nova-2-lite-v1:0
default: true
access_key: $AWS_BEARER_TOKEN_BEDROCK
base_url: https://bedrock-runtime.us-west-2.amazonaws.com
routing_preferences:
- name: code generation
description: generating new code snippets, functions, or boilerplate based on user prompts or requirements

- model: anthropic/claude-haiku-4-5
access_key: $ANTHROPIC_API_KEY

Open Reddit thread
Amazon Nova Lite r/aws 1 upvotes 4 comments January 8, 2025
Is Provisioned Throughput required to utilize Bedrock's new Nova Lite Model?

I’ve been working on integrating Amazon Bedrock’s Nova Lite model into my application and have encountered an issue. According to the documentation, cross-region inference should allow my Lambda function running in us-west-2 to access amazon.nova-lite-v1:0, but my API calls are failing with the following error:

jsonCopy code{
"statusCode": 500,
"body": {
"error": "Bedrock API request failed: An error occurred (ValidationException) when calling the InvokeModel operation: Invocation of model ID amazon.nova-lite-v1:0 with on-demand throughput isn’t supported. Retry your request with the ID or ARN of an inference profile that contains this model."
}
}

From my understanding, Nova Lite is supposed to support both on-demand and provisioned throughput according to the user guide. However, this error makes it seem like provisioned throughput is a mandatory requirement for this model.

I've already:

* Verified that my Lambda function and Bedrock client are correctly configured for us-west-2.
* Ensured that the IAM role has the necessary permissions (bedrock:InvokeModel, etc.).
* Checked the documentation, but it doesn’t explicitly mention that provisioned throughput is required for basic inference with Nova Lite.

Can anyone confirm if provisioned throughput is a hard requirement for Nova Lite, or am I missing a key configuration step? Any insights would be greatly appreciated!

Open Reddit thread
View more discussions →

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Which model should you choose?

Use the summary below to decide which model better fits your workflow, budget, and feature requirements.

Best fit for

Amazon Nova Lite

Amazon Nova Lite is a stronger fit for tool-augmented workflows, multimodal applications, cost-efficient scale.

Best fit for

Mistral Small 3.1 (25.03)

Mistral Small 3.1 (25.03) is a stronger fit for cost-efficient scale, benchmark-led evaluation.

Verdict

Choose Amazon Nova Lite if you prioritize tool-augmented workflows, multimodal applications, cost-efficient scale. Choose Mistral Small 3.1 (25.03) if your workflow depends more on cost-efficient scale, benchmark-led evaluation.

FAQ

Common questions about Amazon Nova Lite vs Mistral Small 3.1 (25.03)

What is the main difference between Amazon Nova Lite and Mistral Small 3.1 (25.03)?

Amazon Nova Lite leans toward tool-augmented workflows, multimodal applications, cost-efficient scale, while Mistral Small 3.1 (25.03) is better suited to cost-efficient scale, benchmark-led evaluation.

Which model is cheaper: Amazon Nova Lite or Mistral Small 3.1 (25.03)?

Amazon Nova Lite starts lower on input pricing at $0.0600 per 1M input tokens, compared with $0.1000 for Mistral Small 3.1 (25.03).

Which model has the larger context window: Amazon Nova Lite or Mistral Small 3.1 (25.03)?

Amazon Nova Lite is listed with a context window of 300,000, while Mistral Small 3.1 (25.03) is listed with 128,000.

How should I evaluate Amazon Nova Lite vs Mistral Small 3.1 (25.03) for my use case?

This comparison currently includes 7 shared benchmark rows, helping you compare practical performance across overlapping evaluations.